Xiangmin Han

31 papers A* 1A 1C 1Misc 1Journal 20Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Exploring dynamic interpretable brain networks via hierarchical graph transformer.
Pattern Recognit.
Hao Hu, Rundong Xue, Shaoyi Du, Xiangmin Han, Jingxi Feng, Zeyu Zhang, Wei Zeng, Yue Gao, Juan Wang
2026 J jnl
HGNNv2: Stable Hypergraph Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Yue Gao, Jielong Yan, Yifan Feng, Xiangmin Han, Shihui Ying, Zongze Wu, Han Hu
2026 J jnl
Hypergraph Foundation Model.
IEEE Trans. Pattern Anal. Mach. Intell.
Yue Gao, Yifan Feng, Shiquan Liu, Xiangmin Han, Shaoyi Du, Zongze Wu, Han Hu
2026 J jnl
Hypergraph-Based High-Order Correlation Analysis for Large-Scale Long-Tailed Data Classification.
IEEE Trans. Pattern Anal. Mach. Intell.
Xiangmin Han, Yubo Zhang, Shihui Ying, Yue Gao
2026 J jnl
Hypergraph-based semantic and topological self-supervised learning for brain disease diagnosis.
Pattern Recognit.
Xiangmin Han, Mengqi Lei, Junchang Li
2026 A* conf
Role Hypergraph Contrastive Learning for Multivariate Time-Series Analysis.
AAAI
Rundong Xue, Hao Hu, Zhitao Zeng, Xiangmin Han, Zhiqiang Tian, Shaoyi Du, Yue Gao
2026 J jnl
Topology-aware multi-view hypergraph computation-based cross-modal brain network fusion for brain disease diagnosis.
Inf. Fusion
Jingxi Feng, Shaoyi Du, Heming Xu, Rundong Xue, Xiangmin Han, Dong Zhang, Jue Jiang, Yue Gao, Juan Wang
2025 — conf
Adaptive Embedding for Long-Range High-Order Dependencies via Time-Varying Transformer on fMRI.
MICCAI (12)
Rundong Xue, Xiangmin Han, Hao Hu, Zeyu Zhang, Shaoyi Du, Yue Gao
2025 Misc conf
Cross-Template-Based Hypergraph Transformer.
ICASSP
Jingxi Feng, Xiangmin Han, Heming Xu, Juan Wang, Jue Jiang, Shaoyi Du, Yue Gao
2025 — conf
DHGFormer: Dynamic Hierarchical Graph Transformer for Disorder Brain Disease Diagnosis.
MICCAI (12)
Rundong Xue, Hao Hu, Zeyu Zhang, Xiangmin Han, Juan Wang, Yue Gao, Shaoyi Du
2025 J jnl
HGTL: A hypergraph transfer learning framework for survival prediction of ccRCC.
Medical Image Anal.
Xiangmin Han, Wuchao Li, Yan Zhang, Pinhao Li, Jianguo Zhu, Tijiang Zhang, Rongpin Wang, Yue Gao
2025 J jnl
Hypergraph Foundation Model for Brain Disease Diagnosis.
IEEE Trans. Neural Networks Learn. Syst.
Xiangmin Han, Rundong Xue, Jingxi Feng, Yifan Feng, Shaoyi Du, Jun Shi, Yue Gao
2025 J jnl
Hypergraph Foundation Model.
CoRR
Yifan Feng, Shiquan Liu, Xiangmin Han, Shaoyi Du, Zongze Wu, Han Hu, Yue Gao
2025 A conf
Hypergraph Self-Supervised Learning for Survival Prediction on Whole Slide Images.
ICME
Yining Zhao, Hao Liu, Jielong Yan, Yongji Tian, Xiangmin Han
2025 — conf
Hypergraph-Guided Federated Distillation Learning for Efficient and Robust Multi-center fMRI Data Analysis.
MICCAI (11)
Tao Jin, Yidan Xu, Yuhan Gao, Xichun Sheng, Chenggang Yan, Yaoqi Sun, Xiangmin Han, Yue Gao
2025 J jnl
Inter-Intra Hypergraph Computation for Survival Prediction on Whole Slide Images.
IEEE Trans. Pattern Anal. Mach. Intell.
Xiangmin Han, Huijian Zhou, Zhiqiang Tian, Shaoyi Du, Yue Gao
2025 — conf
Multimodal Hypergraph Guide Learning for Non-invasive CcRCC Survival Prediction.
MICCAI (12)
Jielong Yan, Xiangmin Han, Jieyi Zhao, Yue Gao
2024 — conf
Inter-intra High-Order Brain Network for ASD Diagnosis via Functional MRIs.
MICCAI (2)
Xiangmin Han, Rundong Xue, Shaoyi Du, Yue Gao
2024 J jnl
Pseudo-Data Based Self-Supervised Federated Learning for Classification of Histopathological Images.
IEEE Trans. Medical Imaging
Yuanming Zhang, Zheng Li, Xiangmin Han, Saisai Ding, Juncheng Li, Jun Wang, Shihui Ying, Jun Shi
2024 — conf
ccRCC Metastasis Prediction via Exploring High-Order Correlations on Multiple WSIs.
MICCAI (5)
Huijian Zhou, Zhiqiang Tian, Xiangmin Han, Shaoyi Du, Yue Gao
2023 J jnl
B-mode ultrasound based CAD for liver cancers via multi-view privileged information learning.
Neural Networks
Xiangmin Han, Bangming Gong, Lehang Guo, Jun Wang, Shihui Ying, Shuo Li, Jun Shi
2023 J jnl
ML-DSVM+: A meta-learning based deep SVM+ for computer-aided diagnosis.
Pattern Recognit.
Xiangmin Han, Jun Wang, Shihui Ying, Jun Shi, Dinggang Shen
2022 J jnl
Diagnosis of Infantile Hip Dysplasia With B-Mode Ultrasound via Two-Stage Meta-Learning Based Deep Exclusivity Regularized Machine.
IEEE J. Biomed. Health Informatics
Bangming Gong, Jing Shi, Xiangmin Han, Huan Zhang, Yuemin Huang, Liwei Hu, Jun Wang, Jun Du, Jun Shi
2022 J jnl
Doubly Supervised Transfer Classifier for Computer-Aided Diagnosis With Imbalanced Modalities.
IEEE Trans. Medical Imaging
Xiangmin Han, Xiaoyan Fei, Jun Wang, Tao Zhou, Shihui Ying, Jun Shi, Dinggang Shen
2022 J jnl
Pseudo-Data based Self-Supervised Federated Learning for Classification of Histopathological Images.
CoRR
Jun Shi, Yuanming Zhang, Zheng Li, Xiangmin Han, Saisai Ding, Jun Wang, Shihui Ying
2022 J jnl
Self-Supervised Bi-Channel Transformer Networks for Computer-Aided Diagnosis.
IEEE J. Biomed. Health Informatics
Ronglin Gong, Xiangmin Han, Jun Wang, Shihui Ying, Jun Shi
2021 J jnl
Doubly supervised parameter transfer classifier for diagnosis of breast cancer with imbalanced ultrasound imaging modalities.
Pattern Recognit.
Xiaoyan Fei, Shichong Zhou, Xiangmin Han, Jun Wang, Shihui Ying, Cai Chang, Weijun Zhou, Jun Shi
2020 — conf
Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging Modalities.
MICCAI (6)
Xiangmin Han, Jun Wang, Weijun Zhou, Cai Chang, Shihui Ying, Jun Shi
2020 J jnl
Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging Modalities.
CoRR
Xiangmin Han, Jun Wang, Weijun Zhou, Cai Chang, Shihui Ying, Jun Shi
2017 C conf
A Predictive Control Algorithm Based on Driving Behavior Data Model.
CIS
Xiangmin Han, Hong Bao, Zuxing Xuan, Feng Pan
2017 J jnl
Real-time self-driving car navigation and obstacle avoidance using mobile 3D laser scanner and GNSS.
Multim. Tools Appl.
Jing Li, Hong Bao, Xiangmin Han, Feng Pan, Weiguo Pan, Feifei Zhang, Di Wang